Follow
Ma Siyuan
Ma Siyuan
Institute of Geology, China Earthquake Adimistration
Verified email at ies.ac.cn
Title
Cited by
Cited by
Year
Inventory and Spatial Distribution of Landslides Triggered by the 8th August 2017 MW 6.5 Jiuzhaigou Earthquake, China
Y Tian, C Xu, S Ma, X Xu, S Wang, H Zhang
Journal of Earth Science 30, 206-217, 2019
1262019
Optimized volume models of earthquake-triggered landslides
C Xu, X Xu, L Shen, Q Yao, X Tan, W Kang, S Ma, X Wu, J Cai, M Gao, ...
Scientific Reports 6 (1), 29797, 2016
1222016
Planet image-based inventorying and machine learning-based susceptibility mapping for the landslides triggered by the 2018 Mw6. 6 Tomakomai, Japan Earthquake
X Shao, S Ma, C Xu, P Zhang, B Wen, Y Tian, Q Zhou, Y Cui
Remote Sensing 11 (8), 978, 2019
852019
Assessment of co-seismic landslide hazard using the Newmark model and statistical analyses: a case study of the 2013 Lushan, China, Mw6. 6 earthquake
S Ma, C Xu
Natural Hazards 96, 389-412, 2019
842019
Landslides triggered by the 2016 Mj 7.3 Kumamoto, Japan, earthquake
C Xu, S Ma, Z Tan, C Xie, S Toda, X Huang
Landslides 15, 551-564, 2018
782018
Two comparable earthquakes produced greatly different coseismic landslides: The 2015 Gorkha, Nepal and 2008 Wenchuan, China events
C Xu, X Xu, Y Tian, L Shen, Q Yao, X Huang, J Ma, X Chen, S Ma
Journal of Earth Science 27, 1008-1015, 2016
702016
Geometric and kinematic features of a landslide in Mabian Sichuan, China, derived from UAV photography
S Ma, C Xu, X Shao, P Zhang, X Liang, Y Tian
Landslides 16, 373-381, 2019
632019
Landslide development within 3 years after the 2015 Mw 7.8 Gorkha earthquake, Nepal
Y Tian, LA Owen, C Xu, S Ma, K Li, X Xu, PM Figueiredo, W Kang, P Guo, ...
Landslides 17, 1251-1267, 2020
562020
Automatic extraction of seismic landslides in large areas with complex environments based on deep learning: An example of the 2018 iburi earthquake, Japan
P Zhang, C Xu, S Ma, X Shao, Y Tian, B Wen
Remote Sensing 12 (23), 3992, 2020
502020
Effects of sampling intensity and non-slide/slide sample ratio on the occurrence probability of coseismic landslides
X Shao, S Ma, C Xu, Q Zhou
Geomorphology 363, 107222, 2020
472020
Characteristics and causes of the landslide on July 23, 2019 in Shuicheng, Guizhou Province, China
S Ma, C Xu, X Xu, X He, H Qian, Q Jiao, W Gao, H Yang, Y Cui, P Zhang, ...
Landslides 17, 1441-1452, 2020
372020
INVENTORY AND SPATIAL DISTRIBUTION OF LANDSLIDES IN Ⅸ-Ⅺ HIGH INTENSITY AREAS OF 1920 HAIYUAN (CHINA) M8.5 EARTHQUAKE
XU Chong, T Yingying, MA Siyuan, X Xiwei, Z Bengang, W Xiyan, Z Jianqi, ...
工程地质学报 26 (5), 1188-1195, 2018
362018
Spatial prediction strategy for landslides triggered by large earthquakes oriented to emergency response, mid-term resettlement and later reconstruction
S Ma, C Xu, X Shao
International journal of disaster risk reduction 43, 101362, 2020
342020
Distribution and characteristics of shallow landslides triggered by the 2018 Mw 7.5 Palu earthquake, Indonesia
X Shao, S Ma, C Xu
Landslides 20 (1), 157-175, 2023
332023
Landslides triggered by the 6 September 2018 Mw 6.6 Hokkaido, Japan: an updated inventory and retrospective hazard assessment
Y Cui, P Bao, C Xu, S Ma, J Zheng, G Fu
Earth Science Informatics 14, 247-258, 2021
272021
Applicability of two newmark models in the assessment of coseismic landslide hazard and estimation of slope-failure probability: an example of the 2008 Wenchuan M w 7.9 …
S Ma, C Xu
Journal of Earth Science 30 (5), 1020-1030, 2019
262019
Characterizing the distribution pattern and a physically based susceptibility assessment of shallow landslides triggered by the 2019 heavy rainfall event in Longchuan County …
S Ma, X Shao, C Xu
Remote Sensing 14 (17), 4257, 2022
252022
Preliminary analysis of coseismic landslides induced by the 1 June 2022 Ms 6.1 Lushan Earthquake, China
X Shao, C Xu, S Ma
Sustainability 14 (24), 16554, 2022
202022
MAT. TRIGRS (V1. 0): A new open-source tool for predicting spatiotemporal distribution of rainfall-induced landslides
S Ma, X Shao, C Xu, X He, P Zhang
Natural Hazards Research 1 (4), 161-170, 2021
202021
UAV survey and numerical modeling of loess landslides: an example from Zaoling, southern Shanxi Province, China
S Ma, J Wei, C Xu, X Shao, S Xu, S Chai, Y Cui
Natural Hazards 104, 1125-1140, 2020
202020
The system can't perform the operation now. Try again later.
Articles 1–20